ML integration Engineer

7 days ago


Singapore Unison Group Full time $120,000 - $200,000 per year
  • Design and implement scalable ML pipelines for Generative and Agentic AI applications.
  • Integrate AI models into production environments using containerized platforms such as OpenShift and Kubernetes.
  • Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions.
  • Develop and maintain automation scripts using Linux shell scripting, Python, or other relevant tools.
  • Ensure seamless deployment and integration of AI services in cloud environments (e.g., AWS, Azure, GCP).
  • Implement and maintain network security protocols to safeguard AI systems and data pipelines.
  • Monitor and optimize system performance, reliability, and scalability.
  • Support CI/CD processes and infrastructure for AI model deployment and updates.

Requirements

  • 5+ years of experience in Machine Learning engineering or AI system integration.
  • Hands-on experience with OpenShift, Docker, Kubernetes.
  • Knowledge of cloud platforms (e.g. AWS, GCP) is a must-have.
  • Exposure to data and network security and compliance in AI systems.
  • Understanding of Generative AI and Agentic AI concepts.
  • Experience with LLM prompt engineering, or RAG pipelines.
  • Knowledge of API integration and microservices architecture.
  • Proficiency in Python used both for ML and automation tasks
  • Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have.
  • Knowledge of Workflow Orchestrator, such as Ctrl-M
  • Knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
  • Experience with Observability framework, such as Langfuse, Elastic Stack, Grafana, OpenTelemetry.


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